ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
CyberFruadShield: AI-Based Fraud Detection System
Authors
Ch. Samson , Shrihitha Yerra , Sankoju Indhu Sree
Keywords
Fraud Detection, Risk Scoring, Real-Time Monitoring, Cybersecurity, Anomaly Detection, Financial Security.
Abstract
This paper proposes CyberFraudShield, an AI-based real-time fraud detection system designed to enhance the security of digital financial transactions. With the rapid adoption of online payment systems, fraudulent activities such as unauthorized transactions, identity theft, and phishing have increased significantly. Traditional fraud detection systems rely on static rules and delayed processing, making them ineffective against evolving fraud patterns. CyberFraudShield addresses these challenges by implementing a multi-factor risk analysis model that evaluates transactions based on parameters such as transaction amount, location, device, and time anomalies. The system assigns a dynamic risk score between 0 and 100 and classifies transactions as safe, suspicious, or fraudulent. High-risk transactions trigger real-time alerts and enable immediate user actions such as blocking or reviewing. Experimental evaluation using simulated transaction datasets demonstrates improved detection accuracy, faster response time, and enhanced visualization through interactive dashboards. CyberFraudShield provides a scalable and efficient solution for modern fraud detection systems.
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How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJCRT — journal style
"CyberFruadShield: AI-Based Fraud Detection System", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.m564-m572, April 2026, Available :https://ijcrt.org/papers/IJCRT26A4459.pdf
APA — 7th edition
Samson, C., Yerra, S., & Sree, S. I. (2026). CyberFruadShield: AI-Based Fraud Detection System. International Journal of Creative Research Thoughts, 14(4), m564-m572. https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A4459
MLA — 9th edition
Samson, Ch., et al. "CyberFruadShield: AI-Based Fraud Detection System." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. m564-m572, https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A4459.
Chicago — 17th, bibliography
Samson, Ch., Shrihitha Yerra, and Sankoju Indhu Sree. "CyberFruadShield: AI-Based Fraud Detection System." International Journal of Creative Research Thoughts 14, no. 4 (2026): m564-m572. https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A4459.
Harvard — author–date
Samson, C., Yerra, S. and Sree, S.I. (2026) 'CyberFruadShield: AI-Based Fraud Detection System', International Journal of Creative Research Thoughts, 14(4), pp. m564-m572. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A4459
IEEE — numbered reference
C. Samson, S. Yerra and S. I. Sree, "CyberFruadShield: AI-Based Fraud Detection System," IJCRT, vol. 14, no. 4, pp. m564-m572, Apr. 2026.
Vancouver — biomedical
Samson C, Yerra S, Sree SI. CyberFruadShield: AI-Based Fraud Detection System. IJCRT. 2026 Apr;14(4):m564-m572.
AMA — 11th edition
Samson C, Yerra S, Sree SI. CyberFruadShield: AI-Based Fraud Detection System. IJCRT. 2026;14(4):m564-m572. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A4459
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT26A4459,
author = {Ch. Samson and Shrihitha Yerra and Sankoju Indhu Sree},
title = {CyberFruadShield: AI-Based Fraud Detection System},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {4},
pages = {m564-m572},
year = {2026},
month = {April},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A4459}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Samson, Ch.
AU - Yerra, Shrihitha
AU - Sree, Sankoju Indhu
TI - CyberFruadShield: AI-Based Fraud Detection System
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 4
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A4459
SP - m564-m572
ER -
Issue
Volume 14 Issue 4,
April-2026
Pages : m564-m572
Article Information
- Pages
- m564-m572
- Published
- April 2026
- Registration ID
- IJCRT_307154
- Published Paper ID
- IJCRT26A4459
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- HYDERABAD, TELANGANA, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 108
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A4459
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT26A4459.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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